9 Best Bioinformatics Courses & Certificate Online [2019]

Best Bioinformatics courses masters program class certification training online

20+ Experts have compiled this list of Best Bioinformatics Course, Masters, Training, Class and Certification available online for 2019. It includes both paid and free resources to help you learn Bioinformatics and these courses are suitable for beginners, intermediate learners as well as experts.

9 Best Bioinformatics Courses, Masters, Certificate, Classes and Programs Online [2019] [UPDATED]

1. Bioinformatics Micromasters Certification by University of Maryland (edX)

University of Maryland Courses OnlineThis micro masters program on edX will show you how to analyze DNA sequences to find anomalies, mutations, understand the role of protein structure and most importantly use statistical analysis tools to mine biological big data among the various topics covered. Get hands-on and learn with demonstrations and interactive lessons. By the end of the classes, you will have a deep understanding of the relevant tools and principles and the confidence to approach more advanced courses.

 

Key USPs –

– Learn to generate the model structure of proteins and understand their functionality.

– Use basic R programming to analyze biological data and draw insight from it.

– Each topic is covered in an elaborate manner with proper demonstrations examples.

– Learn to apply packages in the R environment to solve the typical problems in bioinformatics.

– Explore the theory behind the algorithms that make DNA/RNA and protein sequence alignment possible.

 

Duration: 3 courses, 8 weeks per course, 8 to 10 hours per week

Rating: 4.6 out of 5

You can Sign up Here

 

 

2. Genomic Data Science by John Hopkins University (Coursera)

If you want to jump-start a career in genomic technologies then this series of programs is one of the top contenders to be considered. In this intermediate level classes, you will explore the concepts and tools required to understand, analyze and interpret data from next-generation sequencing experiments. The lessons show you how to work with the most common tools including command line, R, Galaxy, Bioconductor, and Python. End the lessons with a capstone project that will give you the opportunity to apply the topics covered in the lectures.

 

Key USPs-

– All the fundamental concepts in this topic are covered one by one at a good pace throughout the 8 sections.

– Explore computational methods including algorithms and data structures that are required for analyzing DNA sequencing data.

– In the capstone project use a real dataset to perform analysis and prepare a report of your findings.

– The regular quizzes and assignments give you the opportunity to check your progress on the concepts covered and improve accordingly.

– The concepts of biology and computer are well integrated and can be understood easily.

– On the completion of all the graded assignments and assessments, you will earn your completion certificate.

 

Duration: 7 months, 6 hours per week

Rating: 4.4 out of 5

You can Sign up Here

 

 

3. Finding Hidden Messages in DNA (Bioinformatics I) (Coursera)

This course is one of the top choices that illustrates the power of computing in modern biology. In the first half learn about the DNA replication process using some straightforward algorithms. Following this work on topics that use randomized algorithms to answer more complex questions. Finally, end the classes by getting your hand dirty and applying the existing software and tools to find recurring biological motifs within genes. 

 

Key USPs-

– The lectures guide you through all the necessary topics required to install and handle the tool adequately.

– Instructors provide tips and advice on the best practices as well as doubt clarification.

– Apply the algorithms covered in the lectures to find answers to some of the most important and frequently asked questions.

– Complete all the graded assessments to earn the course completion badge.

 

Duration: 14 hours, 4 to 10 hours per week

Rating: 4.7 out of 5

You can Sign up Here 

 

Review : This course is very very good. Challenging at times. It does not hold your hand at all times and sometimes requires research to solve some of the problems, but I like the community and the approach. – JL

 

 

4. Bioinformatics Certification Course by UC San Diego (Coursera)

UC San Diego Courses OnlineBy taking this specialization you will be able to answer the modern biology questions that are solved using computational approaches. Along with this, you will obtain a toolkit of existing software resources built on these computational methods which are used by numerous biologists every day. Though programming is not a necessary skill to take this program, there is an optional Honors Track present that allows you to implement the different algorithms and further enhance your portfolio.

 

Key USPs-

– This program helps you to build a solid foundation of the concepts from scratch.

– It can be taken by anyone even without any coding knowledge. The program has optional classes to get started with the necessary programming for this field.

-The instructor explains the topics well and at a good pace with proper examples.

– The interactive lessons help you to get a clearer view of the topics and the assignments give you an opportunity to measure your grasp on the knowledge.

– The final capstone project will allow you to use the BaseSpace cloud platform to implement several standard bioinformatics software approaches to real biological data.

 

Duration: 21 weeks, 3 to 10 hours per week

Rating : 4.7 out of 5

You can Sign up Here 

 

 

5. Bioinformatics for Beginners by UC San Diego (Coursera)

UC San Diego Courses OnlineIf you are trying to get started with a carer in Bioinformatics then this course may come in handy. Primarily aimed at beginners, the lessons in this program will cover algorithms for finding the solutions to various biological problems along with a handful of programming challenges. These challenges aim to help you to implement these algorithms using Python. The goal of these classes is to provide you with a solid foundation and prepare you for the advanced specializations in this area.

 

Key USPs-

– The lectures cover each concept at a perfect pace in an elaborate manner.

– The complete set of lectures are broken into appropriate sections which makes it easy for the beginners to follow along.

– An interactive textbook provides you with coding problems that are taken from real biological problems.

– The regular quizzes and assignments give you the opportunity to check your progress on the concepts covered and improve accordingly.

– The concepts of biology and computer are well integrated and can be understood easily.

– The lectures and study materials can be accessed for free and the certification can be availed for a nominal fee.

 

Duration: 4 weeks

Rating: 4.5 out of 5

You can Sign up Here

 

 

6. Bioinformatic Methods I by University of Toronto (Coursera)

This course will allow you to focus on employing the existing bioinformatics resources such as web-based programs and databases to answer relevant hands-on questions. Some of the important topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction network. One of the perks of this program is that no prior experience is required with programming to get started.

 

Key USPs-

– Well structured content and the sections are divided appropriately which makes it easy to follow along.

– Tons of hands-on assignments to apply the concepts covered in the videos.

– Gain the tips and tricks that make the usage of the resources simpler and efficient.

– Learn at your own pace with the flexible deadlines.

 

Duration:  13 hours

Rating: 4.7 out of 5

You can Sign up Here 

 

Review : Great course. All lectures provide a biological context for the tools you learn in the labs. The labs themselves provide a great introduction to the many tools available for bioinformatic analysis. – ED

 

 

7. Bioinformatics: Introduction and Methods by Peking University (Coursera)

This MOOC will familiarize you with the concepts and computational methods in this exciting interdisciplinary field. The curriculum is designed in such a way that you will get the opportunity to work on the application of this area in biology. Furthermore, the knowledge acquired will also help you in your future study and research.

 

Key USPs-

– Begin with an introduction to the importance of this field and its history.

– Work with dynamic programming based sequence alignment algorithms.

– Attempt the quizzes that follow the lectures and measure your grasp on the theory covered.

– Get complete guidance to work on the practical lessons and overcome the doubts by interacting with your peers and instructor.

 

Duration: 20 hours, 1 to 2 hours per week

Rating: 4.7 out of 5

You can Sign up Here 

 

Review : The course has given me a great way to learn Bioinformatics. I especially loved the mode of teaching and the case studies. – FK

 

 

8. Bioinformatics Certificate (Harvard Extension School)

This curriculum is designed to help you identify, compile, analyze and communicate complex genetic and biological data for disease research, genome analysis, drug development and more. Work with the latest tools and software and perform analysis on the datasets to gain relevant information. Develop necessary competency with programming languages and figure out solutions based on real-world datasets. By earning this certification you will be ready for a career in medical science and research, molecular and cellular biology, scientific programming, development and many more.

 

Key USPs-

– The classes guide you through every relevant topic thoroughly including the setup process of the tools and software and get familiar with the interface.

– The lessons are designed with quizzes and demonstrations which makes it an enriching experience.

– No application process is required for enrolling in this program comprising of four courses.

– Gain knowledge in focused topics such as genomics, medical informatics, proteomics among others.

-Certification can be availed at an affordable fee.

 

Duration: The certification should be completed within 3 years (Graduate Credit)

Rating : 4.5 out of 5

You can Sign up Here 

 

 

9. Computational Biology (MIT Open Courseware)

Modern biology has come a long way and this course helps you to explore some of the responsible technologies. Cover the algorithmic and machine learning foundations of computational biology. With equal emphasis on both theoretical and practical aspects explore the foundational topics as well as current research frontiers. The program gives you an opportunity to get hands-on and work with current large-scale datasets.

 

Key USPs-

– The videos provide a brief overview of the content to be covered in the introductory lectures.

– Understand various algorithms with a detailed explanation from the instructor.

– Work on assignments and solve real-world challenges by using the current datasets.

– The training is divided into sections along with specified credits and accompanying quizzes.

– A list of book and resources are provided that can supplement the learning.

 

Duration: Self-paced

Rating : 4.5 out of 5

You can Sign up Here 

 

So these were the 9 Best Bioinformatics Masters, Certificates, Classes, Course & Training available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!